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Proficiency with a deep learning framework such as PyTorch, TensorFlow, or Keras and and/or natural language processing using NLTK, spaCy, Gensim, etc. Strong understanding of machine learning, deep learning, computer vision, natural language processing concepts, and speech recognition concepts.
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Provides services from consulting, design, full engineering, procurement & construction (EPC), and commissioning & start-up for LNG facilities, Floating LNG facilities, gas processing & NGL fractionation, gasification & gas to liquids, hydrogen, and ammonia & fertilizers.
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Explore and build proof of concepts using open source NOSQL technologies such as HBase, DynamoDB, Cassandra and Distributed Stream Processing frameworks like Apache Spark, Kafka stream. Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem.
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Position Title Natural Resources Specialist I - Austin, TX. Natural Resources Specialist I - Austin, TX. UTA is designated by the U.S. Department of Education as both a Hispanic-Serving Institution (HSI) and an Asian American and Native American Pacific Islander-Serving Institution (AANAPISI), and it has one of the top 5 most ethnically diverse undergraduate student bodies in the United States (U.S. News & World Report, 2023.
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Experience with Natural Language Processing is a plus Experience working with large datasets using tools like Hadoop, MapReduce, Pig, or Hive is a plus. 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD in Computer Science, Operations Research, Statistics or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
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Speech Language Pathologist Assistant SLPA Home Health. Speech Language Pathologist Assistant (SLPA)? Speech Language Pathologist Assistant (SLPA) Speech Language Pathology.
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Since inception, LS Power has developed or acquired over 47,000 MW of power generation, including utility-scale solar, wind, hydro, battery energy storage, and natural gas-fired facilities. Implement solutions using Splunk search language (SPL) and Splunk architecture.
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What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Experience working with Natural Language Processing is highly desirable. Knowledge and experience working with Spark or Databricks is a plus. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions.
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Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Flink. Data Processing Frameworks: Lead the implementation and optimization of data processing frameworks and technologies, such as Apache Hadoop, Apache Spark, and Apache Flink, to enable efficient data processing and analysis.
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Environmental Protection Specialist/Sanitarian-In-Training: Graduation from a college or university of recognized standing with a bachelor's degree with at least 30 semester hours in basic science or natural science or any combination thereof.
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Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and natural language processing techniques. Work with the computational biology team to integrate the developed natural language interface with our multiomics database.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services. Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, and Containers.
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We use proprietary and open source technologies, Kafka, Spark, Iceberg, Airflow, Presto, etc. Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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natural language processing spark jobs in Austin, TX
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